{"id":"https://openalex.org/W4400410097","doi":"https://doi.org/10.1109/access.2024.3424401","title":"Contrastive Meta-Learner for Automatic Text Labeling and Semantic Textual Similarity","display_name":"Contrastive Meta-Learner for Automatic Text Labeling and Semantic Textual Similarity","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400410097","doi":"https://doi.org/10.1109/access.2024.3424401"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3424401","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3424401","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dx.doi.org/10.1109/access.2024.3424401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115404212","display_name":"Ryan Cooper","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ryan Cooper","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100204028","display_name":"Kenneth W. Kliesner","orcid":"https://orcid.org/0009-0008-1071-648X"},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenneth W. Kliesner","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM, USA"],"raw_orcid":"https://orcid.org/0009-0008-1071-648X","affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I4210104735"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115489936","display_name":"Stephen Zenker","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104735","display_name":"Sandia National Laboratories","ror":"https://ror.org/01apwpt12","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I198811213","https://openalex.org/I4210104735"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Zenker","raw_affiliation_strings":["Sandia National Laboratories, Albuquerque, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sandia National Laboratories, Albuquerque, NM, USA","institution_ids":["https://openalex.org/I4210104735"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5115404212"],"corresponding_institution_ids":["https://openalex.org/I4210104735"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07990548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"166792","last_page":"166799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8253369331359863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6810505390167236},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6720461249351501},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6564745903015137},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5938553810119629},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5512609481811523},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5116012692451477},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.48568281531333923},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4192824363708496},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3951471745967865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12898170948028564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8253369331359863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6810505390167236},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6720461249351501},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6564745903015137},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5938553810119629},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5512609481811523},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5116012692451477},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.48568281531333923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4192824363708496},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3951471745967865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12898170948028564},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2024.3424401","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3424401","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eeeff1b4c0aa49f4bfd36c425149afdb","is_oa":true,"landing_page_url":"https://doaj.org/article/eeeff1b4c0aa49f4bfd36c425149afdb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 166792-166799 (2024)","raw_type":"article"},{"id":"pmh:oai:osti.gov:2396015","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2396015","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:2477870","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2477870","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.1109/access.2024.3424401","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/access.2024.3424401","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G70797072","display_name":null,"funder_award_id":"DE-NA0003525","funder_id":"https://openalex.org/F4320337547","funder_display_name":"Laboratory Directed Research and Development"}],"funders":[{"id":"https://openalex.org/F4320337547","display_name":"Laboratory Directed Research and Development","ror":"https://ror.org/01e41cf67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2739351760","https://openalex.org/W2905471643","https://openalex.org/W2962843773","https://openalex.org/W2971048662","https://openalex.org/W3104033643","https://openalex.org/W3176020109","https://openalex.org/W4283802608","https://openalex.org/W6713197267","https://openalex.org/W6736057607","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6767111925"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2114797768","https://openalex.org/W2380654781","https://openalex.org/W2176214140","https://openalex.org/W2516873349"],"abstract_inverted_index":{"Generating":[0],"large":[1],"labeled":[2],"datasets":[3],"is":[4,46,56],"a":[5,27,61,69,104,108],"common":[6,124],"barrier":[7],"in":[8,15],"machine":[9],"learning":[10,92],"efforts,":[11],"with":[12,111,115],"frequent":[13],"challenges":[14],"both":[16],"labeling":[17,34,94],"and":[18,35],"creating":[19],"useful":[20],"models":[21],"for":[22],"these":[23],"datasets.":[24,128],"We":[25,72],"introduce":[26],"new":[28],"approach":[29],"to":[30,59,83,86,107],"the":[31,76,97,112],"automatic":[32,93],"text":[33],"semantic":[36,98],"textual":[37,99],"similarity":[38,100],"tasks,":[39],"which":[40],"utilizes":[41],"an":[42],"encoder":[43],"layer":[44],"that":[45,74],"fine-tuned":[47],"using":[48],"triplet":[49],"loss.":[50],"This":[51],"approach,":[52],"contrastive":[53],"meta-learning":[54],"(CML),":[55],"specifically":[57],"designed":[58],"create":[60],"naturally":[62],"separable":[63],"embedding":[64],"space,":[65],"based":[66],"on":[67,89],"minimal":[68],"priori":[70],"examples.":[71],"find":[73],"through":[75],"use":[77],"of":[78],"CML,":[79],"we":[80],"are":[81],"able":[82],"perform":[84],"up":[85],"state-of-the-art":[87],"performance":[88],"similar":[90],"few-shot":[91],"methodologies.":[95],"For":[96],"task,":[101],"CML":[102],"creates":[103],"close":[105],"approximation":[106],"model":[109],"trained":[110],"full":[113],"dataset,":[114],"as":[116,118],"little":[117],"8":[119],"training":[120],"examples,":[121],"whereas":[122],"other":[123],"approaches":[125],"require":[126],"outside":[127]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
